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Erschienen in:
2011 | OriginalPaper | Buchkapitel
A New Evolutionary Hybrid Algorithm to Solve Demand Responsive Transportation Problems
verfasst von : Roberto Carballedo, Eneko Osaba, Pablo Fernández, Asier Perallos
Erschienen in: International Symposium on Distributed Computing and Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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This paper shows the work done in the definition of a new hybrid algorithm that is based on two evolutionary techniques: simulated annealing and genetic algorithms. The new algorithm has been used to solve the problem of finding the optimal route for a bus in a rural area where people are geographically dispersed. The result of the work done is an algorithm that (in a reasonable time) is able to obtain good solutions regardless of the number of stops along a route.